Video streaming is an increasingly popular way to consumemedia content. Adaptive video streaming is an emerging de-livery technology which aims to increase user QoE and max-imise connection utilisation. Many implementations naivelyestimate bandwidth from a one-sided client perspective, with-out taking into account other devices in the network. Thisbehaviour results in unfairness and could potentially lowerQoE for all clients. We propose an OpenFlow-assisted QoEFairness Framework that aims to fairly maximise the QoEof multiple competing clients in a shared network environ-ment. By leveraging a Software Dened Networking tech-nology, such as OpenFlow, we provide a control plane thatorchestrates this functionality. The evaluation of our ap-proach in a home networking scenario introduces user-levelfairness and network stability, and illustrates the optimisa-tion of QoE across multiple devices in a network.
|Name||Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking - FhMN '13|